{"id":"W2616379711","doi":"10.3390/ijgi6050154","title":"The Standardization and Harmonization of Land Cover Classification Systems towards Harmonized Datasets: A Review","year":2017,"lang":"en","type":"review","venue":"ISPRS International Journal of Geo-Information","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":73,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Priority Academic Program Development of Jiangsu Higher Education Institutions; Government of Jiangsu Province; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Land cover; Standardization; Harmonization; Interoperability; Cover (algebra); Comparability; Computer science; Land use; Engineering; Civil engineering; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01046057,0.001179311,0.001864244,0.009227753,0.0005942627,0.002451826,0.002966608,0.001236954,0.001673058],"category_scores_gemma":[0.01183571,0.0005980508,0.00120227,0.01448077,0.001379618,0.004608306,0.001568287,0.001596781,0.001156849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001795156,"about_ca_system_score_gemma":0.006998382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006137124,"about_ca_topic_score_gemma":0.005300419,"domain_scores_codex":[0.9969721,0.0006895974,0.000570231,0.0005153223,0.001125174,0.0001276222],"domain_scores_gemma":[0.9903729,0.004498413,0.0009372615,0.0004559909,0.003545386,0.0001900333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002327186,0.00005245825,0.0009295034,0.02825641,0.0001297479,0.00008129713,0.00026134,0.0009044817,0.0008085776,0.01298006,0.01787949,0.9376934],"study_design_scores_gemma":[0.000008503108,0.00006390768,0.002857498,0.01538549,0.0002413438,0.000403434,0.000357302,0.0004537342,0.001015236,0.005684046,0.9734728,0.00005666293],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0009123451,0.9879006,0.005564686,0.001481149,0.0006173957,0.00009254931,0.0003092353,0.00005064938,0.003071378],"genre_scores_gemma":[0.003424025,0.9859471,0.008874636,0.0004304826,0.0002317423,0.00008127196,0.0006288664,0.00002719955,0.0003546288],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.01046057,"threshold_uncertainty_score":0.05532146,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0410797697920819,"score_gpt":0.3336335143644965,"score_spread":0.2925537445724146,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}